Development of power loss-based MW-Mile methodology for deregulated system

Garg, Neeraj; Palwalia, D. K.

doi:10.1080/01430750.2019.1636885

Cited by 1 publication

(4 citation statements)

References 15 publications

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“…In the research field of transmission cost allocation, there are the stamp method [7][8][9], the MW-Mile method [10][11][12][13], the RMC (run marginal cost) method [14,15], the power flow tracking method [16][17][18][19], etc.…”

Section: Literature Survey On Transmission Cost Allocationmentioning

confidence: 99%

“…The advantage of this method is that it provides a reasonable representation of the actual level of utilization of transmission assets by the user. However, its calculations are complex and large, and this is not conducive to the real-time calculation of electricity price by power grid enterprises, as shown in [12,13].…”

Section: Literature Survey On Transmission Cost Allocationmentioning

confidence: 99%

“…the upstream node set of node i C Lz the unit transmission cost component of load node z P i the sum of the generator power and the upstream node power flowing into node i C Li−j the unit transmission cost of line i − j P Gi the generating power of node i a, b the linear regression function coefficient in (13)…”

Section: Conflicts Of Interestmentioning

confidence: 99%

“…The stamp, MW-Mile, and RMC methods each have their own limitations, as shown in [7][8][9][10][11][12][13][14][15]. However, the power tracking method has the advantages of a clear form, strong analysis, a clear physical meaning, and no negative power flow [16][17][18][19].…”

mentioning

confidence: 99%

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Optimal Economic Scheduling Method for Power Systems Based on Whole-System-Cost Electricity Price

Li,

Zeng,

Wang

et al. 2023

Energies

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At present, the traditional scheduling mode of power grids generally dispatches according to the power generation cost within the safe range. Transmission costs are evenly distributed to customers according to their load ratios. There are no methods for the rational distribution of transmission costs according to the utilization degree of generation and load to transmission network resources. This traditional scheduling mode will render transmission cost distribution unfair, and it is difficult to guide reasonable load distribution in time and space. Therefore, an optimal economic scheduling method for power systems based on the whole-system-cost electricity price is proposed in this paper. For the power generation and the transmission sides, the whole-system-cost electricity price model was constructed according to the power flow tracking method. For the load side, a demand-side response model of users’ responses to electricity price changes was established. Finally, the IEEE 57 node standard model was used to simulate optimal economic scheduling. The results show that the proposed method can guide the rational distribution of power flow. The power flow is shifted moderately from far away to near the power generation center, allowing for the load demand to be guided to meet nearby customers’ demands and preventing the line from blocking, the latter of which is conducive to ensuring the safety of the power grid.

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